Category Archives : Artificial Intelligence



Today, Azure announces the general availability of Azure ND A100 v4 Cloud GPU instances—powered by NVIDIA A100 Tensor Core GPUs—achieving leadership-class supercomputing scalability in a public cloud. For demanding customers chasing the next frontier of AI and high-performance computing (HPC), scalability is the key to unlocking improved Total Cost of Solution and Time-to-Solution. 

Simply put, ND A100 v4—powered by NVIDIA A100 GPUs—is designed to let our most demanding customers scale up and scale out without slowing down.

Benchmarking with 164 ND A100 v4 virtual machines on a pre-release public supercomputing cluster yielded a High-Performance Linpack (HPL) result of 16.59 petaflops. This HPL result, delivered on public cloud infrastructure, would fall within the Top 20 of the November 2020 Top 500 list of the fastest supercomputers in the world, or top 10 in Europe, based on the region where the job was run.

Measured via HPL-AI, an artificial intelligence (AI) and machine learning (ML)-focused High-Performance Linpack variant, the same 164-VM pool achieved a 142.8 Petaflop result, placing it among the world’s Top 5 fastest known AI supercomputers as measured by the official HPL-AI benchmark list. These HPL results, utilizing only a fraction of a single public Azure cluster, rank with the most powerful dedicated, on-premises supercomputing




A little over a year ago, Microsoft Build 2020 was Microsoft’s first flagship event to become all-digital early in the COVID-19 pandemic. We wanted to ensure we were there to support developers, who had become more critical than ever to business and societal continuity during the pandemic. During these most challenging times, developers have enabled businesses large and small to continue growing, transforming, and even reimagining the way they fulfill their purpose of supporting their customers and employees.

Microsoft Azure’s mission is to help people and organizations invent with purpose. We are proud to support developers—in many ways, the digital-first responders and pioneers of our generation—and the broader organizations they drive with their innovation. At digital Microsoft Build 2021 this week, we announced a host of new capabilities that help developers create intelligent, connected, and secure cloud-native apps that harness the power of data and AI and run anywhere. Below are the key stories we landed this week at Microsoft Build, with ways to explore for more details.

Increase developer velocity with Microsoft’s end-to-end developer platform

As a company built by developers and for developers, our goal at Microsoft is to provide them with the agility to address the real-world needs of




Over the past year, it’s become clear that businesses navigating these unprecedented times require a new level of agility. Core to this agility is achieving a level of software development excellence that was once thought unimaginable. When it comes to empowering all developers with limitless scale, choice, and possibilities, Microsoft Azure has their back.

Our commitment to developers is to make Azure the best cloud for developing intelligent applications that harness the power of data and AI. At Microsoft Build, we are announcing several exciting new capabilities and offers that make it easy and cost-effective for developers to get started with Azure data and AI services.

Innovate with Azure database services

We are announcing several new capabilities that empower developers to innovate with Azure’s database services. Azure SQL Database’s ledger capability, in preview, provides cryptographic verification for sensitive records. Customers like British Petroleum are already benefiting from this exciting feature. Azure Synapse Link for Microsoft Dataverse provides immediate insights from Microsoft Dynamics 365 and Microsoft Power Platform applications, while Microsoft Power BI streaming dataflows remove any bottleneck from signals to insights. There are also several updates to Azure Cosmos DB to help developers build and modernize high-performance applications at any scale,




Over the past year, Microsoft has teamed with Ball Aerospace to develop the prototype for the Commercially Augmented Space Inter Networked Operations (CASINO) Program Office, facilitated by the Defense Innovation Unit, demonstrating agile cloud processing capabilities in support of the United States Space Force.

The rising number of satellites proliferating in low earth orbit (LEO) presents a new data challenge for the ground segment of missions—a segment that is often overlooked. For increasingly distributed mission environments, Microsoft Azure delivers the processing power and analysis necessary for these large datasets.

The CASINO Program Office demonstrated fast, flexible, and extensible commercial capabilities for ground processing in support of defense missions. The project also confirmed the potential to transform the analysis of space data across a wide array of industries, including agriculture, ecological study, sustainability, and disaster response.

Microsoft-Ball Aerospace team demonstrates a new method of space analytics

This project represents a huge leap forward in reducing the time to actionable insight—if you are on the ground in a tactical edge vehicle or located at a command center, users can obtain necessary information accurately, quickly, and securely.

To execute the demonstrations, the team transmitted simulated overhead persistent infrared (OPIR) data through




Azure Health Bot empowers developers in healthcare organizations to build and deploy artificial intelligence (AI)-powered, compliant, conversational healthcare experiences at scale. It combines built-in medical intelligence with natural language capabilities to understand clinical terminology and can be easily customized to support clinical and operational use cases. The service enables healthcare organizations to comply with industry requirements, including HIPAA and HITRUST. For example, Trinity Health, one of the largest healthcare systems in the U.S., caring for more than 30 million people across 22 states, has effectively utilized Azure Health Bot to make it easier for patients to quickly connect to the care they need.

Today, we are bringing Azure Health Bot to eight new regions:

West U.S. 2 East U.S. 2 South Central U.S. UK South North Europe Southeast Asia Australia East India Central

In response to the surge of COVID-19 cases in India, we are also adding India Central to support the pandemic response efforts in the region. In addition to East U.S. and West Europe, these new regions bring the general availability of Azure Health Bot to a total of 10 regions across three continents.

Our customers have been using Azure Health Bot to drive engagement




Tens of thousands of customers, such as Pepsi, Amway, Airbus, BBC, and Progressive Insurance are using Azure AI to deliver immersive customer experiences, identify new business opportunities, and drive impact. As more organizations use AI in their production workloads, they have an increased need for secure, scalable, and responsible AI development. Today we’re announcing new Azure AI capabilities that will empower organizations to use AI with even more confidence.

Train machine learning (ML) models on-premises and in multi-cloud environments with Azure Arc support for Azure Machine Learning. Deliver cutting-edge search experience in your applications with the semantic search capability in Azure Cognitive Search. Extract information from invoices and identification documents with new capabilities and expanded language support in Form Recognizer. Build machine learning models anywhere with Azure Machine Learning

Customers can now use any Kubernetes cluster for model training with Azure Machine Learning—including on-premises, in multi-cloud environments, and at the edge— with the preview of Azure Arc enabled machine learning. This means organizations can extend machine learning to run close to where the data lives. They can lower cost by leveraging their existing Kubernetes infrastructure and increase operational efficiency. In addition, customers can manage



Mar In today’s fast-paced world, there is often a need for instantaneous, real-time responses. Companies are finding the computing needed to support this 24/7 mentality generates staggering amounts of data, often from devices out in the physical world. This influencesRead More




This blog post was co-authored by John Doyle, Director of Cloud & AI for Microsoft Healthcare

From improving clinical decision making to better managing the COVID-19 pandemic, the benefits of artificial intelligence (AI) applied to health and medicine are undeniable. 2021 is expected to be a year where health systems make unprecedented investments in AI to improve quality, reduce costs, and create more personalized experiences for patients and health consumers alike.

It is against this backdrop that KLAS Research recently named Microsoft as having the strongest Healthcare AI offering among large, cross-industry players. In its report, Decision Insights—Healthcare AI, half of respondents who shared perceptions of Microsoft believe we have a strong healthcare AI offering. The report also gives high marks to other data and AI companies leveraging Microsoft Azure as part of their AI offerings including Epic, Health Catalyst, Jvion, and KenSci. The report goes on to say that health organizations feel Microsoft has more healthcare expertise than the other cross-industry vendors, and calls out the benefits of Azure AI infrastructure and platform being integrated with other highly adopted Microsoft products, such as Microsoft Dynamics 365 and Microsoft Teams.

KLAS Research is a healthcare IT data and insights company




Keeping up with the rapid pace of technology innovation today requires equal advances in the pace of development of new microelectronics. At the same time, customers are increasingly focused on securing the technology supply chain all the way to the silicon. To sustain U.S. strength and leadership in the microelectronics field, we and our partners are committed to enabling a microelectronics supply chain that meets stringent security, protection, and compliance requirements.

Commercially, the microelectronics industry uses Azure to accelerate the development of new circuits and chips to improve both the design and the manufacturing process. We work closely with semiconductor design and foundry partners, and electronic design automation (EDA) vendors, to develop finely tuned solutions running on Azure High Performance Computing (HPC), Internet of Things (IoT) and Edge infrastructures, utilizing Azure Artificial Intelligence and Machine Learning to accelerate the silicon development cycle.

These capabilities also enable U.S. Government customers to ensure compliance with the stringent supply chain requirements for defense and critical infrastructure. Today we’re announcing our collaboration with the Department of Defense (DoD) to strengthen U.S. microelectronics supply chain through our work on the Rapid Assured Microelectronics Prototypes (RAMP) using Advanced Commercial Capabilities Project. This work extends our




It’s been an energizing first year, in-market, for HoloLens 2. We loved seeing the ways HoloLens 2 has empowered customers across industries to increase productivity and innovate with purpose.

Lockheed Martin is using HoloLens 2 to build the Orion spacecraft and reduce touch labor—what used to require an eight-hour shift can now be completed in just 45 minutes. Imperial College Healthcare NHS Trust is using HoloLens 2 to limit healthcare employee’s exposure to patients with COVID-19, reducing the time staff are exposed to the disease by as much as 83 percent. Mercedes-Benz USA is using HoloLens 2 to improve service technician efficiency and reduce time to problem resolution, realizing a 35 to 40 percent decrease in service technician travel.

As part of listening, and always learning, we heard strong demand for HoloLens 2 to operate in environments that have rigorous requirements or are regulated by industry certifications. In the semiconductor and pharmaceutical industries, partners require a device that meets particle emissions standards to enter and operate in their highly controlled clean room environments. In the energy sector, partners need a device that can function safely in potentially hazardous environments.

Enhance worker productivity and accelerate